Conduct is a London-based AI startup building what it calls the AI operating system for enterprise software. The company maps the business logic buried inside complex, legacy technology systems, allowing organisations to understand, operate, and change their core software at the speed of modern business decision-making.
What Is Conduct AI
Conduct provides an AI-driven platform that reads, maps, and explains the business logic inside enterprise software. For most large organisations, their core systems such as ERP, CRM, and custom internal tools have accumulated years of undocumented logic that only a handful of engineers fully understand. When those engineers leave, the institutional knowledge goes with them.
Conduct changes that. Its platform ingests the code, configuration, and data flows of these systems and produces a living map of what the software does and why. Business teams can then make decisions and execute changes without waiting months for engineering cycles. AI agents can also act on these systems safely because they have a reliable understanding of the underlying logic.
The $60M Conduct Series A Round
Conduct announced a $60 million Series A on June 17, 2026, co-led by Index Ventures and ICONIQ. Strategic investor SAP also joined the round, alongside existing backers Creandum, Lucid Capital, and Booom. The raise brings Conduct’s total funding to approximately $72 million, following a $12 million seed round. (Source: Sifted, June 17, 2026)
SAP’s participation is particularly significant. SAP is one of the world’s largest enterprise software companies, with thousands of customers running mission-critical business processes on its platforms. A strategic investment from SAP signals that Conduct’s approach to mapping and operating complex enterprise software is credible at the highest level of the industry.
ICONIQ, which also participated in the Ramp $750 million round in the same month, continues to build a portfolio of enterprise AI companies with clear business value. Index Ventures, one of Europe’s most active early-stage investors, backed Conduct from the seed stage and has now doubled down with this Series A co-lead.
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The Founders: Ex-Palantir Engineers
Conduct was founded in 2026 by Jan Philipp Haas, Philipp Hoefer, and Henry Thompson. All three are former Palantir engineers and executives. Palantir built its reputation on deploying software into the world’s most complex, data-rich, and difficult-to-navigate organisations, including defence agencies, intelligence services, and large enterprises. That experience is core to what Conduct is building.
The team currently numbers 38 people, all based in London. Haas has stated a goal of growing the team to 100 by the end of 2026, with a second office opening in New York. The London-first approach reflects the founders’ conviction that European enterprise AI talent is world-class and that proximity to major UK and European corporate customers is a genuine strategic advantage.
Why This Matters for UK Startups
Conduct’s raise is another data point in the broader story of London becoming Europe’s leading hub for enterprise AI. UK startups have raised $15.4 billion in 2026 so far, up 52 percent year on year according to Tracxn. The enterprise software category is one of the biggest drivers of that growth.
Here is the thing. The opportunity Conduct is targeting is enormous. Billions of dollars of software investment are locked inside legacy systems that companies cannot easily modify, automate, or hand to AI agents. Conduct is building the unlock layer. If it works at scale, the addressable market is essentially every large enterprise on earth.
The Enterprise Legacy Problem
Most enterprise software is not designed to be understood by anyone outside the team that built it. Years of customisation, bolt-on integrations, and workarounds create systems that are simultaneously critical to business operations and impossible to fully document. When companies try to adopt AI agents to automate tasks or improve decision-making, this legacy opacity becomes the primary blocker.
Conduct’s approach is to make the invisible visible. By generating a structured, navigable map of what each system does, the platform reduces the time between a business decision and its execution in technology from weeks or months to hours. That speed matters enormously in competitive industries where responsiveness is a key differentiator.
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Key Takeaways
Conduct raised $60 million in a Series A on June 17, 2026, co-led by Index Ventures and ICONIQ with strategic investment from SAP. The company was founded by three ex-Palantir engineers and is based in London with 38 staff. Conduct maps legacy enterprise software so organisations can operate and change their systems without deep engineering bottlenecks. Total funding is approximately $72 million. The team plans to grow to 100 people by year-end and open a New York office. SAP’s strategic investment signals enterprise-level credibility for Conduct’s approach.
FAQ
Q: What is Conduct AI?
A: Conduct is a London-based AI startup that maps business logic inside enterprise software systems so companies can understand, operate, and change their legacy technology at the speed of modern business decisions.
Q: Who founded Conduct?
A: Conduct was founded in 2026 by Jan Philipp Haas, Philipp Hoefer, and Henry Thompson, three former Palantir engineers with deep experience building software for complex enterprise and government organisations.
Q: How much has Conduct raised in total?
A: Conduct has raised approximately $72 million in total, comprising a $12 million seed round and a $60 million Series A announced on June 17, 2026.
Q: Who led the Conduct Series A?
A: The $60 million Series A was co-led by Index Ventures and ICONIQ, with strategic investment from SAP and participation from existing investors Creandum, Lucid Capital, and Booom.
Q: What problem does Conduct solve?
A: Conduct solves the gap between business decisions and technology execution. Most enterprises run on legacy software that no one fully understands. Conduct maps this complexity so AI agents and business teams can safely operate and change these systems without long engineering delays.
